Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Software Engineer, Machine Learning - Monetization Responsibilities

• Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence.
• Adapt standard machine learning methods to best
  exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
• Re-evaluate the tradeoffs of already shipped features/ML systems, and drive large efforts across
  multiple teams to reduce technical debt, designing from first principles when appropriate.
• Lead a team from a technical perspective to develop ML best practices and influence engineering
  culture.
• Escalate the most complex online/production performance and evaluation issues that require an in-depth knowledge of how the machine learning system interacts with systems
  around it.
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
• Suggest, collect and synthesize requirements and create
  effective feature roadmap.
• Code deliverables in tandem with the engineering team.

Minimum Qualifications

• Requires a Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Statistical Practice, Operations Research, or a related field. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
• 1. Machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence
• 2. Developing machine learning models at scale from inception to business impact
• 3. Developing and debugging in C/C++ and Java
• 4. Scripting languages: Python, Perl, PHP, or shell scripts
• 5. Demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
• 6. Adapting standard machine learning methods to best exploit modern parallel environments: distributed clusters, multicore SMP, and GPU)
• 7. Developing highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$214,032/year to $240,240/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.